Last Updated: Fri, 12/19/2025 Syllabus PDF required. Please edit this page and upload a PDF. Please check PDF for accessibility prior to submission. General Class Information Academic year: 2026 Semester: Spring Course prefix: MGT Course number: 6500 Section: EMA, EMO CRN 24559 34165 Instructor first name: Ravi Instructor last name: Subramanian Catalog Description To introduce participants to a problem-driven approach to assembling, analyzing, and taking action on data. With the Problem-Plan-Data-Analysis-Conclusions (PPDAC) Cycle and Gartner’s Analytics Maturity Model (Descriptive → Diagnostic → Predictive → Prescriptive Analytics) as frameworks, fundamental concepts for the analysis of data will be covered, including descriptive statistics, visualizations, probability and distributions, confidence intervals, hypothesis testing, and regression analysis/predictive analytics. Knowledge of the “whys” behind these tools facilitates rigorous data-driven decision-making.